Research

TRANSP-OR: Silvia Varotto

Silvia Varotto

This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Silvia Varotto.

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Silvia Varotto

International journals

Published

Total: 3

      Papers in conference proceedings

      • Varotto, S. F., Glerum, A., Stathopoulos, A., and Bierlaire, M. (2014). Modelling travel time perception in transport mode choices. Proceedings of the 14th Swiss Transport Research Conference (STRC) May 14-16, 2014.

      Technical reports

        Reviewing

      • IEEE Transactions on Intelligent Transportation Systems (11)
      • Transportation Research Part F: Traffic Psychology and Behaviour (3)
      • Journal of Advanced Transportation (1)
      • Transportation Research Record (1)

        • Total: 16 reviews for 4 journals (since 2004). Per year: 2022: 8, 2021: 8.

        Research projects

        Migration and Discrete Choice Models (MIGDCM)
        Sponsor: Swiss National Science Foundation
        Team: Michel Bierlaire (PI), Silvia Varotto (PM), Evangelos Paschalidis (PM)
        Period: March 01, 2022-March 31, 2025
        International migration is at the forefront of policy debates in most countries around the world. In industrialized nations, the proportion of foreigners in total population increased from 4.5 to 12 percent between 1960 and 2019, stirring up fears about economic costs for natives, loss of national identity, and integration issues. In poor countries, international migration raises concerns about the brain drain of highly-skilled workers, as college and university graduates have a much greater propensity to emigrate internationally than the less educated. Hence, the questions of how many people migrate (i.e., migration intensity}, which people migrate first or are more likely to migrate (i.e., migrants' selection), and where migrants choose to settle (i.e., migrants' sorting) have been analyzed from all possible angles in recent literature. Specifically, understanding how people revise their decisions about whether to emigrate, and where to, when facing changes in the global environment is of crucial importance for decision-makers.

        Regular teaching

        Mathematical modeling of behavior
        Year: Fall 2022
        Section(s): Mathematics, Master in Financial Engineering
        Lecturer: Michel Bierlaire
        Teaching assistant: Silvia Varotto, Nicola Ortelli, Cloe Cortes Balcells, Tom Haering
        Webpage: https://moodle.epfl.ch/course/view.php?id=1001
        Optimization and Simulation
        Year: Spring 2022
        Section(s): Doctoral program in Civil and Environmental Engineering
        Lecturers: Michel Bierlaire, Silvia Varotto, Selin Atac, Cloe Cortes Balcells
        Webpage: http://transp-or.epfl.ch/courses/OptSim2022
        Mathematical modeling of behavior
        Year: Fall 2021
        Section(s): Mathematics, Master in Financial Engineering
        Lecturer: Virginie Lurkin
        Teaching assistant: Melvin Wong, Silvia Varotto, Nicola Ortelli, Janody Pougala
        Webpage: https://moodle.epfl.ch/course/view.php?id=1001

        Miscellaneous lectures

        Modelling driver behavior with intelligent vehicle systems in practice
        Program: Decision-aid methodologies in transportation, April 12, 2022
        School: EPFL
        Lecturer: Silvia Varotto
        Hybrid Choice Models
        Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 11, 2022
        School: EPFL
        Lecturer: Silvia Varotto
        Assistants: Cloe Cortes Balcells, Selin Atac
        Logit Mixtures; Combining RP and SP data
        Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 09, 2022
        School: EPFL
        Lecturer: Janody Pougala
        Assistants: Selin Atac, Silvia Varotto

        Project supervision

        Semester projects

        • Modelling migration intentions worldwide, Hilda Abigél Horváth (SMA), January 27, 2023
        • Studying socio-economic variables through the different waves of SARS-CoV-2, Clément Dauvilliers, June 03, 2022
        • Classification of ordinal outcomes for the analysis of injury severity using machine learning methods (ML for Science CS-433), Hilda Abigél Horváth, Julian Paul Schnitzler, Artur Andrzej Stefaniuk (SSC), December 23, 2021

        Miscellaneous responsibilities

        Ongoing activities (1)